{"id":"https://openalex.org/W4377865195","doi":"https://doi.org/10.48550/arxiv.2305.13161","title":"DeepJSCC-l++: Robust and Bandwidth-Adaptive Wireless Image Transmission","display_name":"DeepJSCC-l++: Robust and Bandwidth-Adaptive Wireless Image Transmission","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4377865195","doi":"https://doi.org/10.48550/arxiv.2305.13161"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2305.13161","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2305.13161","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076857062","display_name":"Chenghong Bian","orcid":"https://orcid.org/0000-0002-0534-7076"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bian, Chenghong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037069274","display_name":"Yulin Shao","orcid":"https://orcid.org/0000-0002-6300-3175"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shao, Yulin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5016883501","display_name":"Den\u0131z G\u00fcnd\u00fcz","orcid":"https://orcid.org/0000-0002-7725-395X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gunduz, Deniz","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.700164,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":76,"max":82},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9964,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9964,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9925,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9905,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.75569755},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.57715744},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46851373},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4612073},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4421361},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.44061548},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.35251647},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.17610687},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15829644},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14350376},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.084355},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2305.13161","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2305.13161","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2305.13161","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"score":0.41,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4321448103","https://openalex.org/W4319588198","https://openalex.org/W4310420093","https://openalex.org/W4307377619","https://openalex.org/W4298054035","https://openalex.org/W4244137926","https://openalex.org/W4226332880","https://openalex.org/W4200631625","https://openalex.org/W3154635860","https://openalex.org/W2145169614"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,36,74],"novel":[4],"vision":[5],"transformer":[6],"(ViT)":[7],"based":[8],"deep":[9],"joint":[10],"source":[11],"channel":[12,31,132,162],"coding":[13],"(DeepJSCC)":[14],"scheme,":[15],"dubbed":[16],"DeepJSCC-l++,":[17],"which":[18,54,80,155],"can":[19,125,150],"be":[20],"adaptive":[21],"to":[22,57,67,85,93,127,139],"multiple":[23],"target":[24],"bandwidth":[25,50,69,90,129],"ratios":[26,33,51,70,91,130],"as":[27,29,60,104],"well":[28],"different":[30,49,68,83,89,128],"signal-to-noise":[32],"(SNRs)":[34],"using":[35],"single":[37],"model.":[38,110],"To":[39],"achieve":[40],"this,":[41],"we":[42],"train":[43],"the":[44,58,86,105,118,140,147,152,157],"proposed":[45,119,148],"DeepJSCC-l++":[46,109,120],"model":[47,59],"with":[48,134,160],"and":[52,73,121,131],"SNRs,":[53],"are":[55,71],"fed":[56],"side":[61],"information.":[62],"The":[63],"reconstruction":[64,96],"losses":[65,87],"corresponding":[66],"calculated,":[72],"new":[75],"training":[76],"methodology":[77],"is":[78,102,115],"proposed,":[79],"dynamically":[81],"assigns":[82],"weights":[84],"of":[88],"according":[92],"their":[94],"individual":[95],"qualities.":[97],"Shifted":[98],"window":[99],"(Swin)":[100],"transformer,":[101],"adopted":[103],"backbone":[106],"for":[107],"our":[108],"Through":[111],"extensive":[112],"simulations":[113],"it":[114],"shown":[116],"that":[117],"successive":[122],"refinement":[123],"models":[124],"adapt":[126],"SNRs":[133],"marginal":[135],"performance":[136],"loss":[137],"compared":[138],"separately":[141],"trained":[142],"models.":[143],"We":[144],"also":[145],"observe":[146],"schemes":[149],"outperform":[151],"digital":[153],"baseline,":[154],"concatenates":[156],"BPG":[158],"compression":[159],"capacity-achieving":[161],"code.":[163]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4377865195","counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-04-18T15:50:40.511372","created_date":"2023-05-24"}